{"database":"bioimages","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":[null],"species":["Homo sapiens (human)"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-BIAD565"],"repository":["bioimages"],"figure_sub":["Protocols","Study Component","organisation","Study Protocols"],"pubmed_authors":["Garry P. Nolan","Wolfgang Huber","Alexander Brobeil","Christian M. Schürch","Laura Llao-Cid","Nora Liebers","Sascha Dietrich","Donnacha Fitzgerald","Berit J. Brinkmann","Verena Passerini","Carsten Müller-Tidow","Martina Seiffert","Oliver Weigert","Marc A. Bärtsch","Mareike Knoll","Harald Vöhringer","Tobias Roider","Felix Czernilofsky","Peter-Martin Bruch"],"additional_accession":[]},"is_claimable":false,"name":"[Reserach Data] Multimodal and spatially resolved profiling of lymph node-derived T-cells in nodal B-cell lymphoma","description":"T-cell-engaging immunotherapies have improved the treatment of nodal B-cell lymphoma, but responses vary highly. Future improvements of such therapies require better understanding of the variety of lymphoma-infiltrating T-cells. We employed single-cell RNA and T-cell receptor sequencing alongside quantification of surface proteins, flow cytometry and multiplexed immunofluorescence on 101 lymph nodes from healthy controls, and patients with diffuse large B-cell, mantle cell, follicular, or marginal zone lymphoma. Our multimodal and spatially resolved dataset revealed entity-specific alterations of the T-cell microenvironment. ","dates":{"release":"2023-08-31T00:00:00Z","modification":"2023-03-03T12:15:36.921Z","creation":"2022-10-09T15:33:38.131Z"},"accession":"S-BIAD565","cross_references":{}}